DocumentCode
1863719
Title
Biological stiffness control strategies for the Anatomically Correct Testbed (ACT) hand
Author
Balasubramanian, Ravi ; Matsuoka, Yoky
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Washington, Seattle, WA
fYear
2008
fDate
19-23 May 2008
Firstpage
737
Lastpage
742
Abstract
With the goal of developing biologically inspired manipulation strategies for an anthropomorphic hand, we investigated how the human central nervous system utilizes the hands redundant neuromusculoskeletal biomechanics to transition between conditions. Using a experiment protocol where subjects were asked to transit between control states with equal end-effector force but different stiffness requirements, we observed that (1) some subjects used the same muscle synergy for both conditions by maintaining the same synergy throughout the transition, and (2) other subjects used two different muscle synergies to execute two conditions by transiting from one synergy to another rapidly. We hypothesize that humans typically try to use the same muscle synergy to execute two tasks when it is possible to optimize on the simplicity and speed over energy. This is a different control strategy from the way robots have been controlled in the past, and it provides a new direction in controlling an anthropomorphic robotic hand.
Keywords
biomechanics; end effectors; manipulator dynamics; mechanical variables control; anatomically correct testbed hand; anthropomorphic hand; anthropomorphic robotic hand; biological stiffness control; biologically inspired manipulation strategies; end-effector force; human central nervous system; muscle synergy; redundant neuromusculoskeletal biomechanics; stiffness requirements; Anthropomorphism; Biological control systems; Biomechanics; Central nervous system; Force control; Humans; Muscles; Protocols; Robot control; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location
Pasadena, CA
ISSN
1050-4729
Print_ISBN
978-1-4244-1646-2
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ROBOT.2008.4543293
Filename
4543293
Link To Document